Career Education Program

Transcription

1 Career Education Program

2 Concept Note on Software Technology Evangelization Program Executive Summary The future looks bright for India s economy, fueled by an entrepreneurial culture and youthful workforce, among other advantages. However, a looming talent shortage could threaten that future. New technologies, ever changing skills requirements and outdated curricula are challenging India s higher education system in its efforts to equip graduates with job-ready skills. To address these challenges, India s education leaders should consider providing faculties and students with requisite skills by partnering with industry, adopting new learning technologies and delivering experience-based, applied learning years of success IBM with its more than 100 years of success has become an industry-standard for IT. To match the growing demand for IT professionals, its latest innovation heralds a unique approach to career education. The unique approach bridges the gap between the aspirations of students and the demands of the industry. Career Education Program The Career Education Program of IBM helps students and faculty in higher education gain all the relevant skills, experiential learning and makes them adept with latest technology and tools. This program brings together the latest software content, real-world industry experience, hands-on lab courses and best practices, to a single unique education platform. Program With keeping creating new skills in the ecosystem IBM Career Education Program has launched a program which offers short capsule of engagement and learning while going deep dive in one specialized technology. : Software Technology Evangelization Program, as its name suggest offers a opportunities for faculties to advance their skills, and pass it on to their students for which they can get worldwide recognition.

3 Salient Features Content Currency The content is provided by industry leader's, validated by educators and industry partners, and adopted by academic institutions globally. Market Alignment Our team has worked with industry experts to provide insights on careers that are taking over the job market. The course content is aligned to this market research, which is updated regularly to ensure our material stays relevant to the needs of the industry. Industry Aligned Career Paths with Global Demand Artificial Intelligence Analyst Big Data Technologist Security Intelligence Engineer Blockchain Devloper Mobile Application Developer Cloud Application Developer Predictive Analytics Modeler Open Badges All career paths are comprised of globally recognized academic exams towards the end of the training. These exams are linked to an Open Badge, which our students or faculty can share to any of their social media accounts. IBM credentials are valued and recognized by the global IT industry. Once you have completed the requirements of a badge, it takes approximately 5 to 10 business days for you to receive an asking you to claim your badge. IBM leverages the services of Pearson VUE Acclaim (a 3rd party) to assist in the administration of the IBM Digital Badge Program. In order to issue you an IBM Digital Badge, your name, address and badge earned will be shared with Pearson VUE Acclaim, who will treat your details in a manner consistent with IBM's policies. You will receive a notification from Acclaim at which point you will have the option to accept the badge.

4 IBM Digital Badge EXPLORER AWARD (Post Practice Test) The Explorer Award badge represents achievements on the part of the learner who is in the earlier stages of acquiring knowledge and developing skills for a particular area of interest. Activities associated with Explorer badges include instructor led training, self-directed learningassignments, workshops, mentoring sessions, and quizzes or assessments. MASTERY AWARD The Mastery Award badge is awarded to individuals who have successfully completed and passed the IBM Skills Academy final exam. This badge is typically associated with the learner who has achieved and demonstrated a high level of understanding of the topic represented by passing the final exam. INSTRUCTOR AWARD The Instructor Award badge reflects demonstrable skills achievement and is associated with the individual who has reached a higher level of proficiency for a particular area of interest, badge holders will already be holders of a Mastery Badge, and will have successfully delivered the associated course to one or more groups of students. AUTHOR AWARD The Author Award badge is awarded to subject matter experts who have actively contributed to the development of one or more courses and/or the associated exams. The individual will have extensive experience with in the technology area and will be regarded by peers as an expert.

5 Artificial Intelligence Analyst Transform your life in extraordinary ways with AI Did you know Artificial intelligence can help in cancer detection, be an assistant to the visually impaired and even create music? The Artificial Intelligence career path empower faculties to prepare their students to apply AI in real-life. This will require skills in Cognitive Computing, Natural Language Processing (NLP), Conversation (Chatbots), and Computer vision. Training topics will include AI, IBM Watson, hands-on and case studies on NLP, Chatbots, and Vision. Module I Artificial Intelligence Overview Status quo of IT security Security Intelligence and operations Module II Security Intelligence Foundations AI Overview, Trends, Advancements Machine learning Neural networks Intro to NLP and its applications Computer vision and Cognitive computing Module III Artificial Intelligence Analyst Natural Language Processing (NLP) advanced Relationship between AI and NLP NLP's applications and case studies Hands-on NLP experience Introduction to Chatbot and its components How to build a Chatbot (Intent, Entities, Dialog) Computer Vision Components and pipeline How to Classify Images with Watson Visual Recognition Artificial Intelligence Analyst Explorer Award (Post Practice Test) Prospective job roles for students Cloud Application Developer Data Scientist

6 Blockchain Developer Rewire solutions with blockchain Imagine if you could see all the places your food has travelled, where all the ingredients came from just by taking a picture of the food label? With blockchain, there is greater visibility and efficiency in the entire supply chain across all industries. The Blockchain Developer career path empower faculties to introduce their students to blockchain concepts such as business networks, participants, assets, and trusted transactions, using Hyperledger Fabric, Hyperledger Composer, and IBM Blockchain Platform. This will require skills in topics such as shared ledger, smart contracts, consensus, and architecture of blockchain solutions. Module I Blockchain Overview Blockchain overview, business requirements, case studies. Module II Prerequisites Introduction to HTML5 and JavaScript Programming NodeJS, Server-side JavaScript, callback functions Docker Essentials, Containers Orchestration, Module III Blockchain Developer Blockchain principles and its use in the enterprise Blockchain infrastructure and applications Identify participants, assets, transactions in a business network Hyperledger Fabric and Hyperledger Composer Blockchain solution architecture Peers, smart contracts, channels, world-state Consensus, ordering service, and transaction endorsement Chaincode structure, lifecycle and deployment approaches Blockchain deployment with Docker and Kubernetes Blockchain security on Hyperledger Fabric and Composer Blockchain integration including SDKs, APIs, IOT, and Cloud Blockchain Developer Explorer Award (Post Practice Test)

7 Cloud Application Developer Give Your ideas Life. Did you know that Snapchat, Instagram, and DropBox didn't even need a workstation to begin with? It all started with an idea and Cloud. With Cloud, you no longer need weeks to build an application; it now takes a few minutes to turn a concept into a running system. The Cloud Application Developer career path empower faculties to prepare their students to develop applications on a hybrid cloud development platform. This will require skills in application development frameworks on cloud, such as Node.js, REST architecture, JSON, Cloud Foundry and DevOps services. The Cloud Application Developer will use tools to build, run, deploy and manage applications on Cloud. Module I Cloud Application Foundations Understanding Cloud Computing technologies Introduction to HTML5 and JavaScript programming Module II Cloud Application Foundations Cloud Service models (IaaS, PaaS, SaaS) IBM Cloud applications Building applications using Node.js, Eclipse, Cloud Foundry and DevOps Services REST architecture, JSON and Functional security Data Services in IBM Cloud Server side JavaScript Web Application framework Cloud Application Developer Explorer Award (Post Practice Test) Prospective job roles for students Cloud Solution Administrator Mobile Application Developer Mobile Application Administrator Business Process Developer

8 Big Data Engineer Data is becoming the world s new natural resource. Currently, 16,000 hospitals worldwide collect patient data and the average hospital is estimated to produce 665 TB of data in one year. This medical data integrates the healthcare databases around the world, optimized to predict epidemics, cure disease and avoid penetrable deaths. The advent of data in the healthcare industry will revolutionize patient care, health services and research communication globally. The Data Scientist career path empower faculties to prepare their students to use the Big Data platform and data governance in order to efficiently store and manage massive amounts of data. This will require skills in Big Data architecture, such as Hadoop, Map Reduce, Hbase, Big SQL and BigSheets. The Data Scientist will use tools to capture, store and analyze structured and unstructured data. Module I Big Data Overview Introduction to the Big Data Ecosystem Introduction to Big Data Module II Data Science Technologist Introduction to the Big Data Ecosystem Introduction to Big Data Introduction to Hortonworks Data Platform (HDP) Apache Ambari Hadoop and HDFS MapReduce and YARN Apache Spark Storing and quering data ZooKeeper, Slider, and Knox Loading data with Sqoop Security and Governance Stream Computing Introduction to Data Science Data Science and Data Science Notebooks Data Science with Open Source Tools Big SQL Using Big SQL to access data residing in the HDFS Creating Big SQL schemas and tables File formats and querying Big SQL tables Managing the Big SQL Server Configuring Big SQL security Data federation with Big SQL IBM Watson Studio Introduction to IBM Watson Studio Analyzing data with Watson Studio Big Data Engineer Explorer Award (Post Mock Exam) Prospective job roles for students Data Engineer Business Intelligence Analyst Artificial Intelligence Analyst

9 Mobile Application Developer Your idea can change the world. Build your app, your way. Did you know that a mobile app could solve a city s traffic, water, and health problems? Not just that, an app can educate children with disabilities, change a diabetic s life, and even help eradicate cancer. The Mobile Application Developer career path empower faculties to prepare their students to develop, test, debug and deploy hybrid mobile applications. This will require skills in application development frameworks such as SenchaTouch, jquery, Dojo and Apache Cordoba. The Mobile Application developer will use tools to create and publish mobile applications in public marketplaces such as Android SDK and Xcode, and also in private enterprise mobile application markets such as IBM MobileFirst. Module I Mobile Computing Overview Mobile Overview, Trends, Mobile Enterprise, Case Studies Understanding Mobile Computing Module II Mobile Application Foundations Roadmap to Mobile Web Development Introduction to HTML5 and JavaScript programming Developing Mobile Web applications with Dojo Mobile Developing Mobile Web applications with jquery Module III Data Scientist Mobile application design types Develop a mobile app to run on Android or iosplatforms Use client-side APIs for cross-platform portability Mobile Frameworks: Dojo and jquerymobile, SenchaTouch UI Use Apache Cordova framework to access native functions. Mobile Enterprise: Use IBM MobileFirstserver-side APIs for back-end integration Secure a mobile application using Prospective job roles for students Mobile Application Developer Explorer Award (Post Practice Test) Mobile Application Administrator Cloud Application Developer Business Process Developer

10 Predictive Analytics Modeler Now with analytics you can predict and prevent traffic congestions. People spend 30% of their time and income on daily commutes. Public transportation agencies are challenged to find ways to increase convenience, improve the travel experience and lower costs. Business analytics uses real-time data to anticipate and control congestions, helping traffic systems flow smoothly. The Predictive Analytics Modeler career path empower faculties to prepare their students to learn the essential analytics models to collect and analyze data efficiently. This will require skills in predictive analytics models, such as data mining, data collection and integration, nodes, and statistical analysis. The Predictive Analytics Modeler will use tools for market research and data mining in order to predict problems and improve outcomes. Module I Analytics Overview Business Analytics Overview, Trends, Case Studies Understanding Business Intelligence and Analytics Module II Business Analytics Foundations Introduction to Data Mining CRISP-DM Module III Predictive Analytics Modeler Introduction to Data Mining CRISP-DM Nodes and streams Initial data mining, storage and field measurement Understanding the data (valid and invalid values) Integrating data (methods, options, merging, and sampling) Deriving and reclassifying fields (CLEM) Looking for relationships (matrix, distribution, means, histogram, statistics and plot) Functions (conversion, string, and statistical) Data transformation Statistical. graphical and sample nodes Automated data mining and modeling Predictive models and customer segmentation Predictive Analytics Modeler Explorer Award (Post Practice Test) Prospective job roles for students Cloud Solution Administrator Cloud Application Developer Mobile Application Developer Mobile Application Administrator Business Process Developer

11 Security Intelligence Engineer Prevent, detect and respond to cyber security threats. Currently, the cost of cybercrime for the global economy has been estimated at $445 billion annually. The need to protect a company s online data infrastructure is now more important as information technology continues to advance. The Security Intelligence Engineer career path empower faculties to prepare their students to learn to consolidate event logs from device endpoints within a network to identify threats. This will require skills in security intelligence and event management such as data security, event offenses, asset profile offenses and event rules. The Security Intelligence Engineer will use tools to investigate offenses that are generated from network logs and create rules that will prevent them from happening further. Module I Cyber Security Overview Status quo of IT security Security Intelligence and operations Module II Security Intelligence Foundations Designing a Security Intelligence solution Security Intelligence functional components Module III Security Intelligence Engineer Collecting and processing events, flows, and vulnerability data Investigating an offense that is triggered by events Investigating the events of an offense Using asset profiles to investigate offenses Investigating an offense that is triggered by flows False positives overview Investigating superflows Using rules and building blocks Creating SIEM reports Performing advanced filtering Security Intelligence Engineer Explorer Award (Post Practice Test) Prospective job roles for students Application Security Engineer Cloud Solution Administrator Predictive Analytics Modeler Watson Cognitive Specialist

12 The Program Offerings Thought Leadership To emerge as one of the competent entities in the academic circles in various areas of Information technology, in this case like on Big Data Analytics / Cloud / Security/ AI & Blockchain etc. Face to Face Training Face to Face training and mentoring from industry practitioners who teach using live industry use cases on each module for 4 days. Cloud Virtual Lab Cloud Virtual Lab environment which allows faculties to access IBM Software on cloud without having to install it on premises. Online Learning Portal Access to Online learning portal which contains Online Training Content, Cloud Based Lab Sessions. Mock Exams Innumerous attempts to mock exams in the cloud environment IBM Open Badge IBM Open Badge on completion modules. Life long access Life long access to the content Let s take a together.